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Scale Stock (SCAI)
Scale AI offers data labeling services to transform raw data into high-quality training datasets for machine learning models. They combine human-in-the-loop labeling with AI-powered automation, aiming to improve efficiency and accuracy. Scale AI has provided data labeling services for companies like OpenAI and Airbnb.
Scale is an API for training data, providing access to human-powered data for a multitude of use cases.
About Scale Stock
Founded
2013
Headquarters
San Francisco, CA, US
Total Funding
28.6B
Industries
Software, Data and Analytics, Science and Engineering
Scale AI is a data-labeling startup that specializes in helping companies curate data for artificial intelligence applications. Scale AI's core offerings include data generation and labeling, model evaluation, foundation model fine-tuning, and enterprise platforms that integrate customer data into advanced generative AI models, all aimed at supporting the end-to-end machine learning lifecycle. The company’s stated mission is to accelerate AI development by delivering better data and enabling faster deployment of performance AI models for a wide range of clients.
Scale Press Mentions
Stay in the know about the latest news on Scale
Meta AI head Alexandr Wang to American startups: Working for US government is not a matter of convenience, but basic principle
timesofindia • Aug 07, 2026
Meta AI head shares message for Google Cloud head, who announced he is joining ScaleAI; the company Alexandr Wang founded, but left to head Mark Zuckerberg's AI division
timesofindia • Jul 31, 2026
Scale AI Appoints Francis deSouza as CEO to Lead Next Phase of Company's Growth
prnewswire • Jul 30, 2026
Mark Zuckerberg slams centralisation of AI power, challenges OpenAI-Anthropic approach
indianexpress • Jul 29, 2026
One of the world’s most prominent hospitals is testing how AI can revolutionize health care
toledoblade • Jul 21, 2026
Investors in Scale
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Scale Management
Leadership team at Scale
Interim CEO & Chief Strategy Officer
Jason Droege
Vice President, Global Accounts
Brooke Peterson
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Scale Key Facts
- Surging Revenue Expectations & Meta Strategic Valuation ($29B): Scale AI’s financial performance and market leadership have been reinforced by revenue scaling and top-tier strategic backing. Scale AI claims it generated $870 million in revenue in 2024 and had its strongest financial year in 2025 and is now profitable. This momentum was further underscored in June 2025 when Meta completed a $14.3 billion strategic investment for a 49% stake in the company, valuing Scale AI at $29.0 billion.
- Expansion of U.S. Department of Defense (CDAO) Contract: Scale AI deepened its foothold in military data infrastructure and operational decision-support systems. In May 2026, the Pentagon’s Chief Digital and Artificial Intelligence Office (CDAO) increased Scale AI’s production agreement ceiling fivefold, from $100 million to $500 million. This contract positions Scale AI as a primary data-labeling and decision-support partner across military branches, expanding its addressable market into high-barrier defense workflows.
- Sovereign AI & Enterprise Public Sector Expansion: Scale AI is broadening its market reach into international sovereign state infrastructure and specialized safety evaluation frameworks through Scale Labs. A landmark five-year partnership with the Qatari government establishes Scale AI as the core platform for powering over 50 public sector AI applications. Concurrently, Scale AI's model benchmarking suite, including SWE-Atlas and Voice Showdown, cements its status as an essential evaluation partner for enterprise model builders and national AI Safety Institutes.
- Erosion of Neutrality & Enterprise Client Churn: Scale AI executed a 14% workforce reduction in July 2025 affecting approximately 200 full-time staff and 500 contractors. These cuts, following a multibillion-dollar investment from Meta, have led to concerns among key clients about potential conflicts of interest and data security. Major partners like Google were reported to have begun exploring alternative vendors, creating a risk of significant customer churn.
- Legal Battle Over Trade Secret Theft: Scale AI is involved in a federal lawsuit against its rival, Mercor, which Scale AI accuses of stealing trade secrets and customer information. The lawsuit, filed in September 2025, alleges that a former Scale AI employee downloaded over 100 confidential documents and shared them with Mercor while still employed at Scale AI. This legal battle is an operational and reputational risk as it highlights the vulnerability of the company's proprietary data and could damage its brand image as a trusted data partner.
- Competitive Landscape: Scale AI faces market share erosion from specialized RLHF and expert annotation firms like Surge AI and Mercor, alongside enterprise platforms like Labelbox. Competitors are aggressively marketing their independence from big-tech governance to win over enterprise AI teams seeking vendor neutrality, strict data privacy, and specialized human-in-the-loop expertise.
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